Yasuhiro Tsujimoto

2.1k total citations
68 papers, 1.7k citations indexed

About

Yasuhiro Tsujimoto is a scholar working on Plant Science, Soil Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Yasuhiro Tsujimoto has authored 68 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Plant Science, 20 papers in Soil Science and 10 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Yasuhiro Tsujimoto's work include Rice Cultivation and Yield Improvement (29 papers), Soil Carbon and Nitrogen Dynamics (18 papers) and Plant nutrient uptake and metabolism (17 papers). Yasuhiro Tsujimoto is often cited by papers focused on Rice Cultivation and Yield Improvement (29 papers), Soil Carbon and Nitrogen Dynamics (18 papers) and Plant nutrient uptake and metabolism (17 papers). Yasuhiro Tsujimoto collaborates with scholars based in Japan, Madagascar and Ghana. Yasuhiro Tsujimoto's co-authors include Tovohery Rakotoson, Hiroshi Matsuda, Tomohiro Nishigaki, Andry Andriamananjara, Kazuki Saito, Yawara Eguchi, Hidetoshi Asai, Shigeomi Shimizu, Yasuo Uchiyama and Satoshi Waguri and has published in prestigious journals such as Journal of Virology, Scientific Reports and Applied Microbiology and Biotechnology.

In The Last Decade

Yasuhiro Tsujimoto

63 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yasuhiro Tsujimoto Japan 21 657 493 255 173 171 68 1.7k
Shuang Liu China 25 1.1k 1.7× 521 1.1× 758 3.0× 194 1.1× 82 0.5× 133 2.7k
Cheng Liu China 30 1.6k 2.5× 874 1.8× 278 1.1× 171 1.0× 262 1.5× 179 3.3k
Xiaoqing Liu China 30 1.4k 2.1× 1.5k 3.0× 115 0.5× 63 0.4× 111 0.6× 201 3.5k
Pedro Pablo Ferrer Gallego Spain 29 1.3k 2.0× 954 1.9× 116 0.5× 34 0.2× 121 0.7× 151 2.4k
Manuel González‐Guerrero Spain 31 1.8k 2.7× 586 1.2× 98 0.4× 130 0.8× 117 0.7× 62 3.1k
Yueqiang Zhang China 30 1.8k 2.8× 438 0.9× 1.1k 4.1× 348 2.0× 39 0.2× 89 3.0k
Jun Lou China 21 405 0.6× 710 1.4× 383 1.5× 47 0.3× 125 0.7× 46 1.9k
Yingying Xing China 31 740 1.1× 815 1.7× 452 1.8× 192 1.1× 445 2.6× 79 2.7k
Yin Wang China 20 653 1.0× 318 0.6× 282 1.1× 237 1.4× 19 0.1× 74 1.4k

Countries citing papers authored by Yasuhiro Tsujimoto

Since Specialization
Citations

This map shows the geographic impact of Yasuhiro Tsujimoto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yasuhiro Tsujimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuhiro Tsujimoto more than expected).

Fields of papers citing papers by Yasuhiro Tsujimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yasuhiro Tsujimoto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yasuhiro Tsujimoto. The network helps show where Yasuhiro Tsujimoto may publish in the future.

Co-authorship network of co-authors of Yasuhiro Tsujimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuhiro Tsujimoto. A scholar is included among the top collaborators of Yasuhiro Tsujimoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yasuhiro Tsujimoto. Yasuhiro Tsujimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Saito, Kazuki, Yasuhiro Tsujimoto, Toshiyuki Takai, et al.. (2025). Robustness of the RGB image-based estimation for rice above-ground biomass by utilizing the dataset collected across multiple locations. Smart Agricultural Technology. 11. 100998–100998. 1 indexed citations
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Tsujimoto, Yasuhiro, et al.. (2024). Optimizing transplanting densities for lowland rice production under low-yielding environments in the Madagascar highlands. Field Crops Research. 318. 109601–109601. 1 indexed citations
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Takai, Toshiyuki, Aung Zaw Oo, & Yasuhiro Tsujimoto. (2024). Enhancing initial growth of transplanted rice under phosphorus deficiency: combined effects of tillering quantitative trait locus and P-dipping technique. Plant Production Science. 27(2). 78–84. 1 indexed citations
6.
Tsujimoto, Yasuhiro, et al.. (2024). Optimizing fertilizer use by providing soil quality information: experimental evidence from Madagascar. Agriculture & Food Security. 13(1). 1 indexed citations
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Nishigaki, Tomohiro, et al.. (2023). Estimation of P retention capacity by the water content of soil kept with a saturated NaCl solution in a desiccator. Soil Science & Plant Nutrition. 69(5-6). 337–345. 1 indexed citations
9.
Rakotoson, Tovohery, et al.. (2023). Farmyard manure application increases lowland rice yield in phosphorus-deficient soils, but not in soils with high pH and phosphorus-fixing capacity. Field Crops Research. 296. 108906–108906. 14 indexed citations
10.
Tsujimoto, Yasuhiro, et al.. (2023). Effect of P-Dipping on Growth of NERICA 4 Rice in Different Soil Types at Initial Growth Stages. Sustainability. 15(21). 15402–15402. 1 indexed citations
11.
Ishizaki, Takuma, Yoshiaki Ueda, Toshiyuki Takai, Kyonoshin Maruyama, & Yasuhiro Tsujimoto. (2023). In-frame mutation in rice TEOSINTE BRANCHED1 (OsTB1) improves productivity under phosphorus deficiency. Plant Science. 330. 111627–111627. 7 indexed citations
12.
Moritsuka, Naoki, Kensuke Kawamura, Yasuhiro Tsujimoto, et al.. (2022). Prediction of the soil properties of Malagasy rice soils based on the soil color and magnetic susceptibility. Soil Science & Plant Nutrition. 69(1). 24–35. 4 indexed citations
13.
Nishigaki, Tomohiro, et al.. (2022). Organic materials with high P and low C:P ratio improve P availability for lowland rice in highly weathered soils: Pot and incubation experiments. Journal of Plant Nutrition and Soil Science. 185(4). 475–485. 4 indexed citations
14.
Asai, Hidetoshi, Michel Rabenarivo, Andry Andriamananjara, et al.. (2021). Farmyard manure application increases spikelet fertility and grain yield of lowland rice on phosphorus-deficient and cool-climate conditions in Madagascar highlands. Plant Production Science. 24(4). 481–489. 10 indexed citations
15.
Nishigaki, Tomohiro, Yasuhiro Tsujimoto, Tovohery Rakotoson, et al.. (2021). Soil phosphorus retention can predict responses of phosphorus uptake and yield of rice plants to P fertilizer application in flooded weathered soils in the central highlands of Madagascar. Geoderma. 402. 115326–115326. 20 indexed citations
16.
Kawamura, Kensuke, Tomohiro Nishigaki, Andry Andriamananjara, et al.. (2021). Using a One-Dimensional Convolutional Neural Network on Visible and Near-Infrared Spectroscopy to Improve Soil Phosphorus Prediction in Madagascar. Remote Sensing. 13(8). 1519–1519. 44 indexed citations
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Takai, Toshiyuki, et al.. (2020). Effects of quantitative trait locus MP3 on the number of panicles and rice productivity in nutrient‐poor soils of Madagascar. Crop Science. 61(1). 519–528. 10 indexed citations
19.
Nishigaki, Tomohiro, et al.. (2020). Soil survey of the east coast and the central highlands indicates need to update Madagascar soil map. Soil Science & Plant Nutrition. 66(3). 469–480. 6 indexed citations
20.
Okamoto, Mitsumasa, et al.. (2001). A thermostable collagenolytic protease with a very large molecular mass produced by thermophilic Bacillus sp. strain MO-1. Applied Microbiology and Biotechnology. 57(1-2). 103–108. 77 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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